Cristinacce, Penny L Hubbard;
Gill, Andrew B;
Birchall, Jonathan R;
Keaveney, Sam;
Berks, Michael;
Kim, Mina;
Gallagher, Edith;
... Roach, Joy R; + view all
(2024)
A repository-integrated framework for rapid clinical analysis of MR-derived hypoxia maps.
Presented at: ISMRM & ISMRT Annual Meeting & Exhibition 2024, Singapore, Singapore.
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Abstract
Motivation: Translation of quantitative biomarkers requires a reproducible and efficient analysis environment to underpin assessments of clinical utility. / Goal(s): This study aimed to provide a 24-hour turnaround of clinically relevant MR-derived hypoxia maps for use in biopsy planning. / Approach: The analysis framework was integrated into an XNAT imaging repository and applied to oxygen-enhanced and dynamic-contrast-enhanced images to quantify and map the extent of hypoxia within low-grade glioma. Results: A group of geo-dispersed researchers consistently delivered MR-derived hypoxia maps to the clinical study team for use alongside 18F-FDOPA PET in biopsy site definition prior to surgery. Impact: A framework of repository-integrated analysis enabled rapid turnaround of quantitative MR imaging biomarkers for clinical decision-making. Specifically, biopsy-planning using MR-derived hypoxia mapping of low-grade glioma was delivered with standardised, reproducible, auditable results in under 24 hours.
| Type: | Conference item (UNSPECIFIED) |
|---|---|
| Title: | A repository-integrated framework for rapid clinical analysis of MR-derived hypoxia maps |
| Event: | ISMRM & ISMRT Annual Meeting & Exhibition 2024 |
| Location: | Singapore, Singapore |
| Dates: | 4 May 2024 - 9 May 2024 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://submissions.mirasmart.com/ISMRM2024/Itiner... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Data Processing, Cancer, Clinical Translation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10200591 |
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